NDLI: Comparison of methods for quantification of rCBF on the HRRT PET scanner using $[^{15}O]HO$

Content Provider	IEEE Xplore Digital Library
Author	Walker, M.D. Feldmann, M. Koepp, M.J. Anton-Rodriguez, J.M. Shaonan Wang Matthews, J.C. Asselin, M.-C.
Copyright Year	2010
Description	Author affiliation: Institute of Neurology, University College London, London, WC1N 3BG, UK (Walker, M.D.; Feldmann, M.; Koepp, M.J.) \|\| Wolfson Molecular Imaging Centre, The University of Manchester, Manchester, M20 3LJ, UK (Anton-Rodriguez, J.M.; Shaonan Wang; Matthews, J.C.; Asselin, M.-C.)
Abstract	The current study aimed to derive accurate estimates of regional cerebral blood flow (rCBF) from noisy dynamic $[^{15}O]HO$ PET images acquired on the High Resolution Research Tomograph (HRRT), whilst retaining the high spatial resolution of this scanner (2–3 mm) in parametric images. We compared the PET autoradiographic and the generalised linear least squares (GLLS) methods to the non-linear least squares (NLLS) method for rCBF estimation. Six healthy volunteers underwent two $[^{15}O]HO$ PET scans which included continuous arterial blood sampling. rCBF estimates were obtained from different methods of image reconstruction: 3DRP, OP-OSEM, and RM-OP-OSEM which includes a resolution model. A range of filters (3D Gaussian, 0–6 mm FWHM) were considered, as were a range of accumulation times (40–120 s) in the case of the autoradiogrpahic method. Whole-brain rCBF values were found to be relatively insensitive to the method of reconstruction and rCBF quantification. The average whole-brain gray matter (GM) rCBF for 3DRP reconstruction and NLLS was 0.44±0.03 mL min $cm^{−3},$ in agreement with literature values. Similar values were obtained from other methods. For generation of parametric images using GLLS or the autoradiographic method, a filter of ≥4 mm was required in order to suppress noise in the PET images which can otherwise produce large biases in the rCBF estimates.
Starting Page	2966
Ending Page	2971
File Size	1964939
Page Count	6
File Format	PDF
ISBN	9781424491063
ISSN	10957863
e-ISBN	9781424491056
DOI	10.1109/NSSMIC.2010.5874340
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Positron emission tomography Image reconstruction Spatial resolution Three dimensional displays Noise Smoothing methods
Content Type	Text
Resource Type	Article

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